Development & Cloud Operations Skills

Use when the user asks to "create a new website", "spin up a frontend", "set up a Next.js site with aegis auth", "scaffold a new web app with authentication", "create a site with login and i18n", or needs a production-ready Next.js frontend integrated with ByteForge Aegis authentication. Provides complete project scaffolding with auth pages, internationalization, Docker deployment, and a design system.

Configure Grafana Loki logging using byteforge-loki-logging library for Python/Flask applications. Use when setting up Loki logging, configuring centralized logging, or adding structured JSON logging to any Python project.

Configure Prometheus metrics for Python/Flask applications with multi-worker gunicorn safety and optional Redis-backed business metrics. Use when adding a /metrics endpoint, instrumenting a Flask app, or fixing inflated metrics from multi-worker gunicorn.

Set up Docker deployment for Flask applications with Gunicorn, automated versioning, and container registry publishing. Use when dockerizing a Flask app, containerizing for production, or setting up CI/CD with Docker.

Set up Flask REST API with flask-smorest, OpenAPI docs, blueprint architecture, and dataclass models. Use when creating a new Flask API server, building REST endpoints, or setting up a production API.

Add a Telegram bot webhook endpoint to a Flask service using the byteforge-telegram library. Use when wiring up a Flask app to receive Telegram bot updates, validating the Telegram secret token, routing commands, and sending notifications back through the Bot API.

Use when the user asks to set up nginx in front of a ByteForge Gatekeeper deployment, configure the gatekeeper vhost, fix Cloudflare Error 1000 / :3000 redirect leaks for a Gatekeeper site, or wire authrequest CORS for a service protected by Gatekeeper's /authz. Generates a drop-in nginx vhost (HTTP→HTTPS, /api/ → Flask backend, / → Next.js frontend) with the four traps documented inline so they don't get "simplified" away, plus optional /authz + /health + /metrics and an optional CORS-via-authrequest configuration for protected upstream services.

Set up Docker deployment for Python MCP servers (FastMCP or low-level mcp.server.Server SDK) with streamable-http transport (preferred) or legacy SSE, automated versioning, and container registry publishing. Use when dockerizing an MCP server, containerizing for remote access, deploying an MCP server behind nginx, or setting up a production MCP server with Docker. Covers Dockerfile, build scripts, docker-compose, and nginx reverse proxy.

Use when the user asks to "add a new MCP server behind nginx", "wire an MCP into the mcp. vhost", "expose an MCP container with gatekeeper auth", or otherwise needs to put a Streamable-HTTP MCP server (FastMCP or low-level SDK) behind nginx with ByteForge Gatekeeper auth (authrequest /auth). Emits a shared conf.d/snippets/mcp-location.conf (proxy/auth/streaming headers all in one place) and either a single new location /mcp- block (brownfield) or the full umbrella vhost from scratch (greenfield). Includes the .well-known OAuth-discovery bypass that forces MCP clients like Claude Code to fall back to bearer-token auth, the /mcp- → /mcp rewrite trio that makes path-prefix routing survive Streamable-HTTP's absolute upstream endpoint, and the buffering/timeout settings that keep streaming connections alive.

Set up PostgreSQL database with standardized schema.sql pattern. Use when starting a new project that needs PostgreSQL, setting up database schema, or creating setup scripts for postgres.

Set up Python project for PyPI publishing or private GitHub distribution with pyproject.toml, src layout, and optional build scripts. Use when creating a new Python package, setting up for PyPI distribution, initializing a Python library project, or setting up a private library distributed via GitHub.

Scaffold a multi-repo Python workspace with models library, core library, Flask backend, and optional sub-projects. Creates directory structure and root CLAUDE.md describing each sub-project and which skills to use next. Use when starting a new Python project, setting up a multi-repo workspace, or scaffolding a project skeleton.

Harden a Python project's dependency supply chain by switching Docker builds from pip to uv, pinning every dependency to the currently-installed version with hashes, and adding a release-age gate so freshly-uploaded (possibly compromised) packages can't be pulled in. Use when locking down dependencies, defending against supply-chain attacks, or migrating a Dockerized Python build from pip to uv.